Road cleanliness monitoring based on deep learning

Abstract

In recent years, automation and artificial intelligence have developed rapidly. Because of their adequate semantic feature extraction capabilities, deep learning models, especially deep convolutional neural networks, have been widely and successfully applied in natural scene image classification. Deep learning-based road cleanness detection offers a lot of practical applications in the field of urban cleaning. As a result, the focus of this study is on using deep learning methods to monitor road cleanliness.